LLM Research Intern
Tasks
- Analyze trade offs across quality latency memory compute cost
- Assess datasets for adaptation approaches
- Build task specific evaluation datasets and metrics
- Compare models prompting strategies retrieval methods
- Curate clean deduplicate structured datasets
- Design LLM evaluation frameworks
- Establish baseline model performance
- Fine tune open weight LLMs
- Improve RAG grounding reranking guardrails hallucination reduction
- Research new models papers datasets benchmarks and techniques
- Support single GPU and multi GPU training
Perks/Benefits
Skills/Tech-stack
Accelerate | Benchmarking | CUDA | Deep learning | DeepSpeed | Efficient Fine Tuning | Experiment design | FSDP | Fine Tuning | GPU Optimization | Hugging Face | Hugging Face Transformers | Language Models | Language Processing | Large Language Models | LoRA | Machine Learning | Model Evaluation | Natural Language | Natural Language Processing | PEFT | Parameter efficient fine-tuning | Pruning | PyTorch | Python | QLoRA | Quantization | RAG | Retrieval | TensorRT-LLM | Text Generation | Text generation inference | Transformers | VLLM
Education
Roles
Regions
Countries
States
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